试图解决一个问题，即我正在根据给定的数据设置两个模型，但是当我尝试这样做时，会抛出错误func main() {
args := "-n 30000 127.0.0.1"
cmd := exec.Command("ping", strings.Split(args, " ")...)
output, _ := cmd.StdoutPipe()
cmd.Start()
scanner := bufio.NewScanner(output)
for scanner.Scan() {
m := scanner.Text()
matchPackets, _ := regexp.MatchString("Packets", m)
matchMinimum, _ := regexp.MatchString("Minimum", m)
if matchPackets {
fmt.Println("Ping statistics for 127.0.0.1")
fmt.Println(m)
}
if matchMinimum {
fmt.Println("Approximate round trip times in milli-seconds:")
fmt.Println(m)
}
}
cmd.Wait()
}
，这是为什么发生的，我该如何解决呢？ R编码新手
代码
Error in eval(predvars, data, env) : object 'TimeSec' not found数据
X<-read.csv("https://omega0.xyz/omega8008/ex4TLg.txt",head=T)
posterior1 <- MCMCregress(TimeSec~1, B0 = 1, data=X,marginal.likelihood="Chib95",mcmc = 100000)
plot(posterior1)
raftery.diag(posterior1)
summary(posterior1)
posterior2 <- MCMCregress(TimeSec~0+sqrt(LengthMt/GravityA),B0 = 1, data=X,marginal.likelihood="Chib95",mcmc = 100000)